How do I install the Scoring skill?

Run npx skillmds@latest add shmayro/scoring in your terminal (requires Node.js), paste this page's agent-chat prompt into Claude, Cursor, or any MCP-connected agent, or download the SKILL.md file and copy it into your agent's skills directory.

Is Scoring safe to use?

This skill has not completed SkillMD's automated safety review yet. Capability flags: docs only. SkillMD never runs a skill's scripts for you; review the SKILL.md before installing.

Which AI agents work with Scoring?

This skill is tagged as working with Claude Code, Claude.ai, OpenAI Codex. SKILL.md is an open format, so most agents that read a skills directory can load it too.

Is Scoring free to use?

Yes. Installing skills from SkillMD is free, and the skill stays under its author's original license.

Who published Scoring?

Shmayro (@shmayro) published this skill. Their other Agent Skills are listed on their SkillMD profile.

Scoring by shmayro — Agent Skill

Name: Scoring
Rating: 4.666666666666667 (3 reviews)
Author: Shmayro

File contents

Score a Skill Execution

Evaluate skill performance using a structured 5-dimension rubric. Scores drive the evolution loop: low scores trigger repair, high scores enable crystallization.

Workflow

Step 1: Identify the Skill

Determine which singularity-managed skill was just executed. Check ~/.claude/singularity/registry.json to confirm it's tracked.

If the skill isn't registered, ask: "This skill isn't tracked by singularity. Want me to register it first?"

Step 2: Assess Performance

Dispatch the singularity-claude:skill-assessor agent (haiku model, fast and cheap) with:

Skill name and version
What was requested (the user's original task)
What was produced (the skill's output/changes)
The scoring rubric from references/scoring-rubric.md

The assessor returns a structured JSON score.

Step 3: Record the Score

"${CLAUDE_PLUGIN_ROOT}/scripts/score-manager.sh" add <skill-name> <total-score> \
  --context "<what the skill was used for>" \
  --strengths '["<strength1>", "<strength2>"]' \
  --weaknesses '["<weakness1>"]' \
  --edge-cases '["<edge-case-if-any>"]'

Step 4: Check Thresholds

Read config from ~/.claude/singularity/config.json:

Condition	Action
Average < `autoRepairThreshold` (50) for 2+ runs	Suggest: "This skill is underperforming. Run `/singularity-repair` to fix it."
Average >= `crystallizationThreshold` (90) with 5+ runs	Suggest: "This skill is ready for crystallization. Run `/singularity-crystallize` to lock it."

Step 5: Update Registry

Update ~/.claude/singularity/registry.json with:

lastExecuted: current timestamp
executionCount: increment
averageScore: from score file

Step 6: Log Telemetry

"${CLAUDE_PLUGIN_ROOT}/scripts/telemetry-writer.sh" log <skill-name> \
  --trigger "scoring" \
  --score <total-score> \
  --summary "<brief assessment>"

Step 7: Report

Show the user:

Score: <total>/100 (avg: <average>/100 over <count> runs)
  Correctness:    <n>/20
  Completeness:   <n>/20
  Edge Cases:     <n>/20
  Efficiency:     <n>/20
  Reusability:    <n>/20
Maturity: <level> → <new-level-if-changed>

Scoring Modes

From config.json:

"auto" — Dispatch assessor agent automatically (default)
"manual" — Ask user for the 0-100 score directly
"hybrid" — Auto-assess, show result, let user override

---name: scoringdescription: Use after any singularity-managed skill execution to rate performance 0-100, track quality over time, and trigger repair when scores drop below threshold---# Score a Skill ExecutionEvaluate skill performance using a structured 5-dimension rubric. Scores drive the evolution loop: low scores trigger repair, high scores enable crystallization.## Workflow### Step 1: Identify the SkillDetermine which singularity-managed skill was just executed. Check `~/.claude/singularity/registry.json` to confirm it's tracked.If the skill isn't registered, ask: *"This skill isn't tracked by singularity. Want me to register it first?"*### Step 2: Assess PerformanceDispatch the `singularity-claude:skill-assessor` agent (haiku model, fast and cheap) with:- **Skill name** and version- **What was requested** (the user's original task)- **What was produced** (the skill's output/changes)- **The scoring rubric** from `references/scoring-rubric.md`The assessor returns a structured JSON score.### Step 3: Record the Score```bash"${CLAUDE_PLUGIN_ROOT}/scripts/score-manager.sh" add <skill-name> <total-score> \ --context "<what the skill was used for>" \ --strengths '["<strength1>", "<strength2>"]' \ --weaknesses '["<weakness1>"]' \ --edge-cases '["<edge-case-if-any>"]'```### Step 4: Check ThresholdsRead config from `~/.claude/singularity/config.json`:| Condition | Action ||-----------|--------|| Average < `autoRepairThreshold` (50) for 2+ runs | Suggest: *"This skill is underperforming. Run `/singularity-repair` to fix it."* || Average >= `crystallizationThreshold` (90) with 5+ runs | Suggest: *"This skill is ready for crystallization. Run `/singularity-crystallize` to lock it."* |### Step 5: Update RegistryUpdate `~/.claude/singularity/registry.json` with:- `lastExecuted`: current timestamp- `executionCount`: increment- `averageScore`: from score file### Step 6: Log Telemetry```bash"${CLAUDE_PLUGIN_ROOT}/scripts/telemetry-writer.sh" log <skill-name> \ --trigger "scoring" \ --score <total-score> \ --summary "<brief assessment>"```### Step 7: ReportShow the user:```Score: <total>/100 (avg: <average>/100 over <count> runs) Correctness: <n>/20 Completeness: <n>/20 Edge Cases: <n>/20 Efficiency: <n>/20 Reusability: <n>/20Maturity: <level> → <new-level-if-changed>```## Scoring ModesFrom `config.json`:- `"auto"` — Dispatch assessor agent automatically (default)- `"manual"` — Ask user for the 0-100 score directly- `"hybrid"` — Auto-assess, show result, let user override

Frequently asked questions

Scoring